Invariants of noise in cyber-physical systems components

Simple item page
dc.citation.epage70
dc.citation.issue2
dc.citation.spage63
dc.citation.volume2
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorNyemkova, Elena
dc.coverage.placenameLviv
dc.date.accessioned2018-06-19T10:28:45Z
dc.date.available2018-06-19T10:28:45Z
dc.date.created2017-12-03
dc.date.issued2017-12-03
dc.description.abstractThe article is devoted to the invariant of internal electrical noise of electronic devices, which are components of cyber-physical systems. Time series of noise signals show chaotic behavior. Invariants are based on the autocorrelation function of dynamic time series. Insignificant differences on the micro-level devices lead to changes in the dynamics of time series. It is shown that the form of the autocorrelation function is unchanged for each electronic device of the cyber-physical system. The dynamic authentication algorithm has been developed, which consists of choosing a range of time series, defining and calculating invariants, making decisions about authentication. The result of the operation of the algorithm can be transferred to the executive mechanism, depending on the practical problems in cyber-physical systems. Also for the pseudorandom sequence of the embedded program generator, the following values are predicted on the basis of invariants. Estimated errors are calculated.
dc.format.extent63-70
dc.format.pages8
dc.identifier.citationNyemkova E. Invariants of noise in cyber-physical systems components / Elena Nyemkova // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2017. — Vol 2. — No 2. — P. 63–70.
dc.identifier.citationenNyemkova E. Invariants of noise in cyber-physical systems components / Elena Nyemkova // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2017. — Vol 2. — No 2. — P. 63–70.
dc.identifier.issn2524-0382
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/42054
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 2 (2), 2017
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dc.relation.referencesen[17] Loskutov A., Kotlyarov O. ‘Local approximation: A new method of forecasting of economic indexes’. Currency Stag, No. 11, 2008, p. 8–13.
dc.relation.referencesen[18] Kuzovlev, Yu. E. ‘Why nature needs 1/f noise’. Physics- Uspekhi, Vol. 58, no. 7, 2015, pp. 719–729.
dc.relation.referencesen[19] Nikulchev, E. B. Identification of dynamic systems based on symmetry of reconstructed attractors, Moscow, Moscow state university of printing publishing, 2010.
dc.relation.referencesen[20] Petrovich, V. N. ‘Identification of parameters of mathematical models of dynamic control system. Artificial Intelligent, Is. 4, 2011, pp. 343–349.
dc.relation.urihttp://www.dence.de
dc.relation.urihttp://chaos.phys.msu.ru/loskutov/PDF/Lectures_
dc.rights.holder© Національний університет „Львівська політехніка“, 2017
dc.rights.holder© Nyemkova E. 2017
dc.subjectautocorrelation function
dc.subjectdynamic authentication
dc.subjectcyber-physical systems
dc.subjectchaotic time series
dc.subjectinternal electrical noise signals
dc.titleInvariants of noise in cyber-physical systems components
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2017. – Vol. 2, No. 2